Triple
T37572619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barangay FM |
E934728
|
entity |
| Predicate | networkPositioning |
P35754
|
FINISHED |
| Object | mass-oriented FM network |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: mass-oriented FM network | Statement: [Barangay FM, networkPositioning, mass-oriented FM network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkPositioning Context triple: [Barangay FM, networkPositioning, mass-oriented FM network]
-
A.
networkStrategy
Indicates a relationship where an entity defines or employs a specific plan or approach for configuring, managing, or utilizing a network.
-
B.
network
Indicates that one entity is connected to or interacts with another through a system of relationships, communication, or information exchange.
-
C.
networkBand
Indicates the specific frequency band or range within a network over which communication or data transmission occurs.
-
D.
positionInNetwork
chosen
Indicates the specific role or location an entity occupies within a network’s structure or topology.
-
E.
networkFocus
Indicates a relationship where attention, resources, or activity are primarily directed toward a particular network or set of network connections.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.